By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

At Floating Fleet AI, Norbert will play a key role in advancing the company’s optimization capabilities and working directly with customers whose operational challenges extend beyond what ...

Using the online platform "Smart People's Congress", Cao Xinsheng, 52, a deputy to the people's congress of Yuci district in ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

Operating rooms are critical to surgical care and hospital revenue, but inefficiencies in the OR are a challenge at nearly ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Abstract: The particle swarm optimization (PSO) algorithm is a swarm intelligence (SI) algorithm used to solve optimization problems. Owing to its advantages in simplicity, using only a few parameters ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Abstract: Evolutionary multitask optimization (EMTO) studies how to simultaneously solve multiple optimization tasks via evolutionary algorithms (EAs) while making the useful knowledge acquired from ...